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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 20197
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    INDEX
    Explanations

    companies or organizations related to various industries

    oai_token-act-pair · gpt-3.5-turbo

    references to various industries and enterprises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     interval
    -0.66
     phantom
    -0.65
     crunch
    -0.65
     Couch
    -0.63
     bite
    -0.59
     pree
    -0.59
     sensitivity
    -0.58
     dash
    -0.58
     talk
    -0.58
     validity
    -0.57
    POSITIVE LOGITS
     Industries
    4.24
     Enterprises
    1.96
     Technologies
    1.58
     Industry
    1.56
    indust
    1.45
     Manufacturing
    1.44
    Indust
    1.36
     industries
    1.34
     Indust
    1.31
     Companies
    1.29
    Activations Density 0.023%

    No Known Activations